International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
Vehicle Detection, Tracking and Speed Measurement for Traffic Regulation Pulli Harsha Samhitha1, Allu Naga Jyothi2, Ramana Vesapogu3, Manasa Mannem4 ,S. Sri Harsha5 Student, V .R .Siddhartha Engineering College,JNTUK,Vijayawada Associate Professor, Dept of Information Technology, V. R .Siddhartha Engineering College, Vijayawada , Andhra Pradesh , India ---------------------------------------------------------------------***--------------------------------------------------------------------are occluded by other vehicles or by background Abstract – Vehicle Detection Process on road are used for obstacles such as road signals, trees, weather vehicle tracking, counting average speed of each individual vehicle, traffic analysis and implemented under different conditions etc., and the performance of these systems environmental changes. In this paper we present a concise depend on a good traffic image analysis approaches image processing method in developing traffic surveillance to detect and track the Vehicles. 1234
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systems. The proposed model implements enhanced preprocessing, background Subtraction, Morphological Operations as well as Feature Mapping Process for Moving Vehicle Detection, Tracking and Speed Estimation. To enhance background subtraction, a novel multidirectional intensity strokes estimation approach has been introduced that plays a significant role for distinguishing vehicle region from other background contents. Here we consider the Regions of Interest (ROI) as vehicle region only. In addition the enhanced thinning and dilation based morphological process has been introduced that exhibits more precise and accurate vehicle detection.
Video Frame
Pre Processing
Background Modelling
Key Words: Vehicle Detection and tracking, background subtraction, vehicle speed, morphological processing, regions of interest
Foreground Modelling
1. INTRODUCTION
Data Validation
One of the significant application of video-based supervision systems is the Traffic Surveillance. So, for many years of researches have investigated in the vision based intelligent transportation system. The economic and easily availability of hardware have motivated researchers to develop more efficient solution for computer vision based applications. Image Processing based computer vision has become a promising technology for real time supervision, monitoring and control that serves major areas, ranging from civil applications, industries. Especially considering significance of Intelligent Transportation System, the vision based supervision has the significant contribution, as it can facilitate real time monitoring, vehicle tracking and identification. In addition, other parametric identification such as vehicle speed , Vehicle density, Vehicle Count etc., for efficient traffic monitoring and Control. However the traditional vehicle systems may be declined and not recognized well due to the vehicles Š 2017, IRJET
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Impact Factor value: 5.181
Foreground Mask
Background Subtraction Model 1.1 Motion Vehicle Detection and Segmentation Approach The detection of moving object regions of change in the same image sequence which captured at different intervals is one of the interested fields in computer vision. An important large number of applications in diverse disciplines are employed the change detection in its work, such as video surveillance, medical diagnosis and treatment, remote sensing, under water sensing and civil infrastructure. One of the video surveillance branches in the traffic image analysis which include the moving /motion vehicle detection and segmentation approaches. Even though various research papers have been showed |
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